Show HN: Faaah – Filesystem as an AI Handler
🗣️ FAAAH (Filesystem As An AI Handler) The simplest OpenAI-compatible LLM proxy you will ever need.™️ FAAAH allows you to reuse your AI Agent subscription as a generic OpenAI-compatible local server. FAAAH is dependency-free, implemented as a plain-text file protocol (UNIX-philosophy certified): Instead of sending your prompts to cloud LLM APIs, send them to FAAAH, which reads OpenAI-compatible requests and dumps them into a folder as .txt files. Then, tell your existing AI coding agent (Claude Code, opencode, etc) to read the files and write responses to other .txt files.
- ▪🗣️ FAAAH (Filesystem As An AI Handler) The simplest OpenAI-compatible LLM proxy you will ever need.™️ FAAAH allows you to reuse your AI Agent subscription as a generic OpenAI-compatible local server.
- ▪FAAAH is dependency-free, implemented as a plain-text file protocol (UNIX-philosophy certified): Instead of sending your prompts to cloud LLM APIs, send them to FAAAH, which reads OpenAI-compatible requests and dumps them into a folder as .
- ▪Then, tell your existing AI coding agent (Claude Code, opencode, etc) to read the files and write responses to other .txt files.
Hacker News (AI / LLM) files mainly under ai. We currently carry 4,119 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | GitHub |
| Canonical URL | https://github.com/sebastiancarlos/faaah |
| Publication time | Sat, 08 Aug 2026 23:13:46 +0000 |
| Retrieval time | 2026-08-08T23:20:42.329Z |
| Last seen | 2026-08-08T23:20:42.329Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | qBLWwT1FqogM · 1 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
🗣️ FAAAH (Filesystem As An AI Handler) The simplest OpenAI-compatible LLM proxy you will ever need.™️ FAAAH allows you to reuse your AI Agent subscription as a generic OpenAI-compatible local server. FAAAH is dependency-free, implemented as a plain-text file protocol (UNIX-philosophy certified): Instead of sending your prompts to cloud LLM APIs, send them to FAAAH, which reads OpenAI-compatible requests and dumps them into a folder as .txt files. Then, tell your existing AI coding agent (Claude Code, opencode, etc) to read the files and write responses to other .txt files. FAAAH then packages the responses into OpenAI-compatible JSON, and returns them to your app. Why? Because you already pay for an AI coding assistant.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.